Usman Sattar Publishes Article | A Smart Analysis &Visualization of Power Forecasting in Pakistan
Mr. Usman Sattar, Assistant Professor at the Department of Management Sciences, School of Business has co-authored a research article titled “A Smart Analysis and Visualization of Power Forecasting in Pakistan” published in International Journal of Computing and Digital Systems, an HEC recognized journal.
Please find a brief overview of the study as shared by the faculty member:
"In this study, the power instability of production, demand, and markets is far less stable than ever before. Also, the corporate concept is profoundly questioned. Many decision-making processes in this competitive and complex setting depend on probabilistic predictions to measure unpredictable futures. However, the simulation of time series appears to deliver more reliable results, given the projected economic and demographic parameters usually deviate from the achievements. The machine learning technique “ARIMA” and deep learning technique Long Short-Term Memory “LSTM,” are used to calculate Pakistan’s future primary energy demand from 2019 to 2030.
To read the full article visit the following link: